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Air Traffic Control

Indra Air Automation

AI-powered air traffic control automation for safer, more efficient skies

Category
Software
Ideal For
Air Navigation Service Providers
Deployment
On-premise / Hybrid
Integrations
None+ Apps
Security
Multi-layer authentication, role-based access control, data encryption, audit logging, compliance with aviation safety standards
API Access
Yes - integration with surveillance systems and airport infrastructure

About Indra Air Automation

Indra Air Automation is a sophisticated air traffic control solution that modernizes airspace management through artificial intelligence and machine learning capabilities. The platform processes real-time surveillance data from multiple sources, enabling air traffic controllers to make informed decisions with predictive analytics and automated recommendations. By integrating advanced data analytics with automation technology, Indra Air Automation enhances safety protocols, increases airport capacity, and optimizes flight operations. The system reduces controller workload while maintaining the highest safety standards required in aviation. On AiDOOS, organizations can leverage Indra Air Automation through flexible engagement models, scaling deployment across multiple airports and airspace sectors. The platform supports hybrid deployments, allowing seamless integration with existing ATC infrastructure while enabling rapid optimization of air traffic flows and capacity management.

Challenges It Solves

  • Air traffic controllers manage increasing flight volumes with limited situational awareness tools
  • Manual conflict detection and resolution leads to delays and inefficient airspace utilization
  • Lack of predictive analytics prevents proactive decision-making in dynamic airspace conditions
  • Safety risks increase as operational complexity grows without advanced decision support
  • Integration challenges between legacy systems and modern surveillance technologies

Proven Results

42
Reduction in flight delays through optimized routing
38
Increase in airspace capacity utilization efficiency
56
Improvement in controller situational awareness and safety

Key Features

Core capabilities at a glance

Real-time Surveillance Integration

Unified data from multiple sources for complete airspace visibility

360-degree airspace awareness enabling faster decision-making

Predictive Analytics Engine

AI-driven forecasting for proactive conflict prevention

Anticipate conflicts 15+ minutes in advance for optimal resolution

Intelligent Automation

Automated recommendations reduce controller workload

Controllers focus on complex decisions, routine tasks automated

Machine Learning Optimization

Continuous learning from historical and real-time data

System improves accuracy and efficiency over time

Safety Decision Support

Real-time alerts and compliance monitoring

Maintain zero-tolerance safety standards with automated checks

Capacity Management Tools

Dynamic airspace utilization optimization

Handle 30-40% more flights in same airspace safely

Ready to implement Indra Air Automation for your organization?

Real-World Use Cases

See how organizations drive results

Terminal Area Control
Optimize aircraft sequencing and spacing in busy terminal areas around major airports. Real-time recommendations help controllers manage increasing traffic volumes while maintaining safety margins.
45
35% improvement in landing sequence efficiency
En-route Traffic Management
Manage aircraft across regional airspace with predictive conflict detection and resolution. AI analytics identify optimal routing and altitude assignments to minimize delays.
52
Reduce flight times by average 8-12 minutes
Capacity Planning
Use historical and real-time data to forecast airspace capacity constraints and plan traffic flows. Machine learning models predict peak periods and recommend proactive measures.
38
Increase system capacity utilization by 25-30%
Safety Compliance Monitoring
Continuous monitoring of minimum separation standards and safety protocols. Automated alerts ensure compliance with aviation regulations across all operational scenarios.
67
Zero safety incidents from system recommendations
Weather Impact Mitigation
Integrate weather data to predict impacts on air traffic and automatically adjust routes and procedures. Reduce weather-related delays through intelligent flow management.
33
Reduce weather-induced delays by 40% average

Integrations

Seamlessly connect with your tech ecosystem

R

Radar & Surveillance Systems

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Seamless integration with primary and secondary radar, satellite ADS-B data, and other surveillance sources for unified air traffic picture

F

Flight Data Processing Systems

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Direct connection to flight plan databases and track data systems for real-time aircraft position and intent information

A

Airport Operational Systems

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Integration with airport management systems for gate, runway, and ground operations coordination

W

Weather Information Systems

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Real-time weather data integration for wind, precipitation, and hazardous condition analysis affecting traffic flows

M

Meteorological Data Providers

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Integration with meteorological services for predictive weather modeling and impact analysis on airspace

A

Airline Operations Centers

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Two-way data exchange with airline planning systems for collaborative decision-making capabilities

A

Adjacent ATC Centers

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Seamless handoff procedures and data sharing with neighboring air traffic control facilities

Implementation with AiDOOS

Outcome-based delivery with expert support

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

1
Discover
Requirements & assessment
2
Integrate
Setup & data migration
3
Validate
Testing & security audit
4
Rollout
Deployment & training
5
Optimize
Performance tuning

See how it works for your team

Alternatives & Comparisons

Find the right fit for your needs

Capability Indra Air Automation Sabre AirCentre Thinkorswim Swiftly
Customization Excellent Excellent Excellent Excellent
Ease of Use Good Good Good Good
Enterprise Features Excellent Excellent Excellent Excellent
Pricing Fair Fair Excellent Fair
Integration Ecosystem Excellent Excellent Good Excellent
Mobile Experience Good Good Good Good
AI & Analytics Excellent Excellent Good Excellent
Quick Setup Fair Good Fair Good

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Frequently Asked Questions

How does Indra Air Automation maintain safety standards?
The system integrates continuous monitoring of separation standards, automated safety alerts, compliance checks, and real-time decision support to maintain zero-tolerance safety protocols. All recommendations are subject to controller approval.
Can the system work with existing legacy ATC infrastructure?
Yes, Indra Air Automation is designed for hybrid deployment. On AiDOOS, we facilitate seamless integration with legacy surveillance systems, flight data processing systems, and airport operations infrastructure.
What is the implementation timeline for AiDOOS customers?
Implementation varies by scope and existing infrastructure. Typically, pilots range from 3-6 months with full deployment timelines of 12-24 months. AiDOOS provides managed deployment services to accelerate time-to-value.
How does the AI improve over time?
Machine learning models continuously learn from historical operations data, weather patterns, and traffic flows. The system adapts to local airspace characteristics, seasonal patterns, and operational changes for increasingly optimized recommendations.
What training is required for air traffic controllers?
Controllers require training on system operations, features, and workflow integration. AiDOOS includes comprehensive training programs, documentation, and ongoing support to ensure controllers can effectively leverage automation while maintaining operational control.
How is data security handled for sensitive aviation information?
All aviation data is protected through military-grade encryption, role-based access controls, and comprehensive audit logging. The system complies with aviation authority security requirements and supports air-gapped deployment options where required.